Using differentials and given $h=fcircvec g$ find $h(1.02,1.99)$

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Using differentials find approximately $h(1.02,1.99)$ using that



$$h=fcircvec g,quad f(u,v)=3u+v^2,quadvec g(1,2)=(3,6),quad D_vec g(1,2)=left(beginmatrix2&1\3&5endmatrixright).$$




What does it mean by "Using differentials"?



Anyway let $h(x,y)$ a differentiable function, because both $f$ and $vec g$ are differentiable because the first one is a composition of sums and cuadratic, and the second because that has given us the jacobian, therefore their composition is also differentiable $colorred(textin only one point or in the domain of h)$?
So we must find $$h(x,y)=h(x_0,y_0)+h'_x(x_0,y_0)(x-x_0)+h'_y(x_0,y_0)(y-y_0).$$



Using the composition of functions I get



$$begincasesh'_x&=f'_ucdot g'_x+f'_vcdot g'_x\h'_y&=f'_ucdot g'_y+f'_vcdot g'_y,endcases$$ but I am not able to continue because I don't know how to evaluate the derivatives of $vec h$ (for $f$ yes, finding its gradient). Also I do not know what is the value of $h(x_0,y_0)$.



Can anyone help me, please?



Thank you!







share|cite|improve this question

















  • 1




    You provide $quad D_vec g$. But in which $(x,y)$ value is it?
    – mathcounterexamples.net
    Aug 7 at 19:18






  • 1




    Using differentials means: using the approximation $f(x+delta)=f(x)+delta f'(x)$
    – N74
    Aug 7 at 19:20










  • @N74 thank you. Hmmm... and in the case for $2$ variables? Something like $h(x+delta_1,y+delta_2)$?
    – manooooh
    Aug 7 at 19:27







  • 1




    You have already the right expression for $h$
    – N74
    Aug 7 at 19:33






  • 1




    The vector form of my first comment... the derivative is replaced by the gradient in vector spaces
    – N74
    Aug 7 at 20:03














up vote
1
down vote

favorite












Using differentials find approximately $h(1.02,1.99)$ using that



$$h=fcircvec g,quad f(u,v)=3u+v^2,quadvec g(1,2)=(3,6),quad D_vec g(1,2)=left(beginmatrix2&1\3&5endmatrixright).$$




What does it mean by "Using differentials"?



Anyway let $h(x,y)$ a differentiable function, because both $f$ and $vec g$ are differentiable because the first one is a composition of sums and cuadratic, and the second because that has given us the jacobian, therefore their composition is also differentiable $colorred(textin only one point or in the domain of h)$?
So we must find $$h(x,y)=h(x_0,y_0)+h'_x(x_0,y_0)(x-x_0)+h'_y(x_0,y_0)(y-y_0).$$



Using the composition of functions I get



$$begincasesh'_x&=f'_ucdot g'_x+f'_vcdot g'_x\h'_y&=f'_ucdot g'_y+f'_vcdot g'_y,endcases$$ but I am not able to continue because I don't know how to evaluate the derivatives of $vec h$ (for $f$ yes, finding its gradient). Also I do not know what is the value of $h(x_0,y_0)$.



Can anyone help me, please?



Thank you!







share|cite|improve this question

















  • 1




    You provide $quad D_vec g$. But in which $(x,y)$ value is it?
    – mathcounterexamples.net
    Aug 7 at 19:18






  • 1




    Using differentials means: using the approximation $f(x+delta)=f(x)+delta f'(x)$
    – N74
    Aug 7 at 19:20










  • @N74 thank you. Hmmm... and in the case for $2$ variables? Something like $h(x+delta_1,y+delta_2)$?
    – manooooh
    Aug 7 at 19:27







  • 1




    You have already the right expression for $h$
    – N74
    Aug 7 at 19:33






  • 1




    The vector form of my first comment... the derivative is replaced by the gradient in vector spaces
    – N74
    Aug 7 at 20:03












up vote
1
down vote

favorite









up vote
1
down vote

favorite











Using differentials find approximately $h(1.02,1.99)$ using that



$$h=fcircvec g,quad f(u,v)=3u+v^2,quadvec g(1,2)=(3,6),quad D_vec g(1,2)=left(beginmatrix2&1\3&5endmatrixright).$$




What does it mean by "Using differentials"?



Anyway let $h(x,y)$ a differentiable function, because both $f$ and $vec g$ are differentiable because the first one is a composition of sums and cuadratic, and the second because that has given us the jacobian, therefore their composition is also differentiable $colorred(textin only one point or in the domain of h)$?
So we must find $$h(x,y)=h(x_0,y_0)+h'_x(x_0,y_0)(x-x_0)+h'_y(x_0,y_0)(y-y_0).$$



Using the composition of functions I get



$$begincasesh'_x&=f'_ucdot g'_x+f'_vcdot g'_x\h'_y&=f'_ucdot g'_y+f'_vcdot g'_y,endcases$$ but I am not able to continue because I don't know how to evaluate the derivatives of $vec h$ (for $f$ yes, finding its gradient). Also I do not know what is the value of $h(x_0,y_0)$.



Can anyone help me, please?



Thank you!







share|cite|improve this question













Using differentials find approximately $h(1.02,1.99)$ using that



$$h=fcircvec g,quad f(u,v)=3u+v^2,quadvec g(1,2)=(3,6),quad D_vec g(1,2)=left(beginmatrix2&1\3&5endmatrixright).$$




What does it mean by "Using differentials"?



Anyway let $h(x,y)$ a differentiable function, because both $f$ and $vec g$ are differentiable because the first one is a composition of sums and cuadratic, and the second because that has given us the jacobian, therefore their composition is also differentiable $colorred(textin only one point or in the domain of h)$?
So we must find $$h(x,y)=h(x_0,y_0)+h'_x(x_0,y_0)(x-x_0)+h'_y(x_0,y_0)(y-y_0).$$



Using the composition of functions I get



$$begincasesh'_x&=f'_ucdot g'_x+f'_vcdot g'_x\h'_y&=f'_ucdot g'_y+f'_vcdot g'_y,endcases$$ but I am not able to continue because I don't know how to evaluate the derivatives of $vec h$ (for $f$ yes, finding its gradient). Also I do not know what is the value of $h(x_0,y_0)$.



Can anyone help me, please?



Thank you!









share|cite|improve this question












share|cite|improve this question




share|cite|improve this question








edited Aug 7 at 19:41
























asked Aug 7 at 19:09









manooooh

390214




390214







  • 1




    You provide $quad D_vec g$. But in which $(x,y)$ value is it?
    – mathcounterexamples.net
    Aug 7 at 19:18






  • 1




    Using differentials means: using the approximation $f(x+delta)=f(x)+delta f'(x)$
    – N74
    Aug 7 at 19:20










  • @N74 thank you. Hmmm... and in the case for $2$ variables? Something like $h(x+delta_1,y+delta_2)$?
    – manooooh
    Aug 7 at 19:27







  • 1




    You have already the right expression for $h$
    – N74
    Aug 7 at 19:33






  • 1




    The vector form of my first comment... the derivative is replaced by the gradient in vector spaces
    – N74
    Aug 7 at 20:03












  • 1




    You provide $quad D_vec g$. But in which $(x,y)$ value is it?
    – mathcounterexamples.net
    Aug 7 at 19:18






  • 1




    Using differentials means: using the approximation $f(x+delta)=f(x)+delta f'(x)$
    – N74
    Aug 7 at 19:20










  • @N74 thank you. Hmmm... and in the case for $2$ variables? Something like $h(x+delta_1,y+delta_2)$?
    – manooooh
    Aug 7 at 19:27







  • 1




    You have already the right expression for $h$
    – N74
    Aug 7 at 19:33






  • 1




    The vector form of my first comment... the derivative is replaced by the gradient in vector spaces
    – N74
    Aug 7 at 20:03







1




1




You provide $quad D_vec g$. But in which $(x,y)$ value is it?
– mathcounterexamples.net
Aug 7 at 19:18




You provide $quad D_vec g$. But in which $(x,y)$ value is it?
– mathcounterexamples.net
Aug 7 at 19:18




1




1




Using differentials means: using the approximation $f(x+delta)=f(x)+delta f'(x)$
– N74
Aug 7 at 19:20




Using differentials means: using the approximation $f(x+delta)=f(x)+delta f'(x)$
– N74
Aug 7 at 19:20












@N74 thank you. Hmmm... and in the case for $2$ variables? Something like $h(x+delta_1,y+delta_2)$?
– manooooh
Aug 7 at 19:27





@N74 thank you. Hmmm... and in the case for $2$ variables? Something like $h(x+delta_1,y+delta_2)$?
– manooooh
Aug 7 at 19:27





1




1




You have already the right expression for $h$
– N74
Aug 7 at 19:33




You have already the right expression for $h$
– N74
Aug 7 at 19:33




1




1




The vector form of my first comment... the derivative is replaced by the gradient in vector spaces
– N74
Aug 7 at 20:03




The vector form of my first comment... the derivative is replaced by the gradient in vector spaces
– N74
Aug 7 at 20:03










1 Answer
1






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oldest

votes

















up vote
2
down vote



accepted










Supposing that
$$D_vec g(1,2)=left(beginmatrix2&1\3&5endmatrixright)$$
you also have $D_f(3,6)= (3,12)$.



Now you can write $(1.02,1.99)=(1+0.02,2.0-0.01)=(1,2)+(0.02,-0.01)=(1,2)+(h,k)$.



Based on that, you can use the chain rule (which you used in your question using coordinates), namely



$$D_h(1,2)=D_f(3,6) circ D_vec g(1,2)$$



To get



$$h(1.02,1.99)approx h(1,2)+D_h(1,2).(h,k)=45+(3,12)left[beginpmatrix2 &1\
3&5endpmatrixbeginpmatrix0.02\
-0.01endpmatrixright]=45.21$$






share|cite|improve this answer





















  • Thanks! What about the condition of differentiability? $h$ is differentiability near $(1,2)$ because both $f$ and $vec g$ are differentiability? I mean, why can we apply the chain rule?
    – manooooh
    Aug 7 at 20:21







  • 1




    If $f$ is differentiable at $a$ and $g$ at $b=f(a)$ then $h =g circ f$ is differentiable at $a$ and its derivative is given by the chain rule. This is the chain rule theorem.
    – mathcounterexamples.net
    Aug 7 at 20:34











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1 Answer
1






active

oldest

votes








1 Answer
1






active

oldest

votes









active

oldest

votes






active

oldest

votes








up vote
2
down vote



accepted










Supposing that
$$D_vec g(1,2)=left(beginmatrix2&1\3&5endmatrixright)$$
you also have $D_f(3,6)= (3,12)$.



Now you can write $(1.02,1.99)=(1+0.02,2.0-0.01)=(1,2)+(0.02,-0.01)=(1,2)+(h,k)$.



Based on that, you can use the chain rule (which you used in your question using coordinates), namely



$$D_h(1,2)=D_f(3,6) circ D_vec g(1,2)$$



To get



$$h(1.02,1.99)approx h(1,2)+D_h(1,2).(h,k)=45+(3,12)left[beginpmatrix2 &1\
3&5endpmatrixbeginpmatrix0.02\
-0.01endpmatrixright]=45.21$$






share|cite|improve this answer





















  • Thanks! What about the condition of differentiability? $h$ is differentiability near $(1,2)$ because both $f$ and $vec g$ are differentiability? I mean, why can we apply the chain rule?
    – manooooh
    Aug 7 at 20:21







  • 1




    If $f$ is differentiable at $a$ and $g$ at $b=f(a)$ then $h =g circ f$ is differentiable at $a$ and its derivative is given by the chain rule. This is the chain rule theorem.
    – mathcounterexamples.net
    Aug 7 at 20:34















up vote
2
down vote



accepted










Supposing that
$$D_vec g(1,2)=left(beginmatrix2&1\3&5endmatrixright)$$
you also have $D_f(3,6)= (3,12)$.



Now you can write $(1.02,1.99)=(1+0.02,2.0-0.01)=(1,2)+(0.02,-0.01)=(1,2)+(h,k)$.



Based on that, you can use the chain rule (which you used in your question using coordinates), namely



$$D_h(1,2)=D_f(3,6) circ D_vec g(1,2)$$



To get



$$h(1.02,1.99)approx h(1,2)+D_h(1,2).(h,k)=45+(3,12)left[beginpmatrix2 &1\
3&5endpmatrixbeginpmatrix0.02\
-0.01endpmatrixright]=45.21$$






share|cite|improve this answer





















  • Thanks! What about the condition of differentiability? $h$ is differentiability near $(1,2)$ because both $f$ and $vec g$ are differentiability? I mean, why can we apply the chain rule?
    – manooooh
    Aug 7 at 20:21







  • 1




    If $f$ is differentiable at $a$ and $g$ at $b=f(a)$ then $h =g circ f$ is differentiable at $a$ and its derivative is given by the chain rule. This is the chain rule theorem.
    – mathcounterexamples.net
    Aug 7 at 20:34













up vote
2
down vote



accepted







up vote
2
down vote



accepted






Supposing that
$$D_vec g(1,2)=left(beginmatrix2&1\3&5endmatrixright)$$
you also have $D_f(3,6)= (3,12)$.



Now you can write $(1.02,1.99)=(1+0.02,2.0-0.01)=(1,2)+(0.02,-0.01)=(1,2)+(h,k)$.



Based on that, you can use the chain rule (which you used in your question using coordinates), namely



$$D_h(1,2)=D_f(3,6) circ D_vec g(1,2)$$



To get



$$h(1.02,1.99)approx h(1,2)+D_h(1,2).(h,k)=45+(3,12)left[beginpmatrix2 &1\
3&5endpmatrixbeginpmatrix0.02\
-0.01endpmatrixright]=45.21$$






share|cite|improve this answer













Supposing that
$$D_vec g(1,2)=left(beginmatrix2&1\3&5endmatrixright)$$
you also have $D_f(3,6)= (3,12)$.



Now you can write $(1.02,1.99)=(1+0.02,2.0-0.01)=(1,2)+(0.02,-0.01)=(1,2)+(h,k)$.



Based on that, you can use the chain rule (which you used in your question using coordinates), namely



$$D_h(1,2)=D_f(3,6) circ D_vec g(1,2)$$



To get



$$h(1.02,1.99)approx h(1,2)+D_h(1,2).(h,k)=45+(3,12)left[beginpmatrix2 &1\
3&5endpmatrixbeginpmatrix0.02\
-0.01endpmatrixright]=45.21$$







share|cite|improve this answer













share|cite|improve this answer



share|cite|improve this answer











answered Aug 7 at 19:48









mathcounterexamples.net

24.6k21653




24.6k21653











  • Thanks! What about the condition of differentiability? $h$ is differentiability near $(1,2)$ because both $f$ and $vec g$ are differentiability? I mean, why can we apply the chain rule?
    – manooooh
    Aug 7 at 20:21







  • 1




    If $f$ is differentiable at $a$ and $g$ at $b=f(a)$ then $h =g circ f$ is differentiable at $a$ and its derivative is given by the chain rule. This is the chain rule theorem.
    – mathcounterexamples.net
    Aug 7 at 20:34

















  • Thanks! What about the condition of differentiability? $h$ is differentiability near $(1,2)$ because both $f$ and $vec g$ are differentiability? I mean, why can we apply the chain rule?
    – manooooh
    Aug 7 at 20:21







  • 1




    If $f$ is differentiable at $a$ and $g$ at $b=f(a)$ then $h =g circ f$ is differentiable at $a$ and its derivative is given by the chain rule. This is the chain rule theorem.
    – mathcounterexamples.net
    Aug 7 at 20:34
















Thanks! What about the condition of differentiability? $h$ is differentiability near $(1,2)$ because both $f$ and $vec g$ are differentiability? I mean, why can we apply the chain rule?
– manooooh
Aug 7 at 20:21





Thanks! What about the condition of differentiability? $h$ is differentiability near $(1,2)$ because both $f$ and $vec g$ are differentiability? I mean, why can we apply the chain rule?
– manooooh
Aug 7 at 20:21





1




1




If $f$ is differentiable at $a$ and $g$ at $b=f(a)$ then $h =g circ f$ is differentiable at $a$ and its derivative is given by the chain rule. This is the chain rule theorem.
– mathcounterexamples.net
Aug 7 at 20:34





If $f$ is differentiable at $a$ and $g$ at $b=f(a)$ then $h =g circ f$ is differentiable at $a$ and its derivative is given by the chain rule. This is the chain rule theorem.
– mathcounterexamples.net
Aug 7 at 20:34













 

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